HashNet: Deep Learning to Hash by Continuation

ICCV 2017 • Zhangjie Cao • Mingsheng Long • Jian-Min Wang • Philip S. Yu

Learning to hash has been widely applied to approximate nearest neighbor search for large-scale multimedia retrieval, due to its computation efficiency and retrieval quality. Deep learning to hash, which improves retrieval quality by end-to-end representation learning and hash encoding, has received increasing attention recently... (read more)

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